{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제16_복지국가 발전경로_OECD\data\STATA code for analysis 2.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}23 Jul 2025, 15:22:53

{com}. encode country, gen(country_1)

. 
. 
. 
. 
. 
. reg government_resp c.subjective_class##i.country_liberal sex age edu income religious marital urban_1  i.year, cluster(country)

{txt}Linear regression                               Number of obs     = {res}    31,419
                                                {txt}{help j_robustsingular:F(10, 11) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1049
                                                {txt}Root MSE          =    {res} 2.5624

{txt}{ralign 100:(Std. Err. adjusted for {res:12} clusters in country)}
{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                   government_resp{col 36}{c |}      Coef.{col 48}   Std. Err.{col 60}      t{col 68}   P>|t|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}subjective_class {c |}{col 36}{res}{space 2} .4620992{col 48}{space 2} .0851939{col 59}{space 1}    5.42{col 68}{space 3}0.000{col 76}{space 4} .2745888{col 89}{space 3} .6496096
{txt}{space 17}1.country_liberal {c |}{col 36}{res}{space 2}-.2469388{col 48}{space 2} .3301647{col 59}{space 1}   -0.75{col 68}{space 3}0.470{col 76}{space 4}-.9736264{col 89}{space 3} .4797487
{txt}{space 34} {c |}
country_liberal#c.subjective_class {c |}
{space 32}1  {c |}{col 36}{res}{space 2}-.3222687{col 48}{space 2} .0903156{col 59}{space 1}   -3.57{col 68}{space 3}0.004{col 76}{space 4} -.521052{col 89}{space 3}-.1234854
{txt}{space 34} {c |}
{space 31}sex {c |}{col 36}{res}{space 2} .1638373{col 48}{space 2}  .059394{col 59}{space 1}    2.76{col 68}{space 3}0.019{col 76}{space 4} .0331119{col 89}{space 3} .2945626
{txt}{space 31}age {c |}{col 36}{res}{space 2} -.114969{col 48}{space 2} .0314528{col 59}{space 1}   -3.66{col 68}{space 3}0.004{col 76}{space 4}-.1841961{col 89}{space 3}-.0457418
{txt}{space 31}edu {c |}{col 36}{res}{space 2}-.0550203{col 48}{space 2} .0962814{col 59}{space 1}   -0.57{col 68}{space 3}0.579{col 76}{space 4}-.2669342{col 89}{space 3} .1568936
{txt}{space 28}income {c |}{col 36}{res}{space 2}-.1110413{col 48}{space 2} .0200286{col 59}{space 1}   -5.54{col 68}{space 3}0.000{col 76}{space 4}-.1551241{col 89}{space 3}-.0669586
{txt}{space 25}religious {c |}{col 36}{res}{space 2}-.1589158{col 48}{space 2} .0987515{col 59}{space 1}   -1.61{col 68}{space 3}0.136{col 76}{space 4}-.3762665{col 89}{space 3} .0584348
{txt}{space 27}marital {c |}{col 36}{res}{space 2}-.0091686{col 48}{space 2} .0485225{col 59}{space 1}   -0.19{col 68}{space 3}0.854{col 76}{space 4} -.115966{col 89}{space 3} .0976288
{txt}{space 27}urban_1 {c |}{col 36}{res}{space 2}  .029549{col 48}{space 2} .0234798{col 59}{space 1}    1.26{col 68}{space 3}0.234{col 76}{space 4}-.0221297{col 89}{space 3} .0812277
{txt}{space 34} {c |}
{space 30}year {c |}
{space 32}4  {c |}{col 36}{res}{space 2} .3970739{col 48}{space 2} .2577817{col 59}{space 1}    1.54{col 68}{space 3}0.152{col 76}{space 4}-.1702997{col 89}{space 3} .9644476
{txt}{space 32}5  {c |}{col 36}{res}{space 2} .4282854{col 48}{space 2} .2350287{col 59}{space 1}    1.82{col 68}{space 3}0.096{col 76}{space 4}-.0890092{col 89}{space 3}   .94558
{txt}{space 32}6  {c |}{col 36}{res}{space 2}  .474265{col 48}{space 2} .2263574{col 59}{space 1}    2.10{col 68}{space 3}0.060{col 76}{space 4}-.0239442{col 89}{space 3} .9724742
{txt}{space 32}7  {c |}{col 36}{res}{space 2} .9836213{col 48}{space 2} .2822266{col 59}{space 1}    3.49{col 68}{space 3}0.005{col 76}{space 4} .3624446{col 89}{space 3} 1.604798
{txt}{space 34} {c |}
{space 29}_cons {c |}{col 36}{res}{space 2} 5.250639{col 48}{space 2} .3387523{col 59}{space 1}   15.50{col 68}{space 3}0.000{col 76}{space 4}  4.50505{col 89}{space 3} 5.996227
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. margins country_liberal , at( subjective_class =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    31,419
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#country_liberal {c |}
{space 15}1 0  {c |}{col 21}{res}{space 2} 5.235099{col 33}{space 2} .2006883{col 44}{space 1}   26.09{col 53}{space 3}0.000{col 61}{space 4} 4.793387{col 74}{space 3} 5.676811
{txt}{space 15}1 1  {c |}{col 21}{res}{space 2} 4.665892{col 33}{space 2} .1662191{col 44}{space 1}   28.07{col 53}{space 3}0.000{col 61}{space 4} 4.300046{col 74}{space 3} 5.031738
{txt}{space 15}2 0  {c |}{col 21}{res}{space 2} 5.697199{col 33}{space 2} .1621178{col 44}{space 1}   35.14{col 53}{space 3}0.000{col 61}{space 4}  5.34038{col 74}{space 3} 6.054017
{txt}{space 15}2 1  {c |}{col 21}{res}{space 2} 4.805722{col 33}{space 2} .1430632{col 44}{space 1}   33.59{col 53}{space 3}0.000{col 61}{space 4} 4.490842{col 74}{space 3} 5.120602
{txt}{space 15}3 0  {c |}{col 21}{res}{space 2} 6.159298{col 33}{space 2} .1637209{col 44}{space 1}   37.62{col 53}{space 3}0.000{col 61}{space 4}  5.79895{col 74}{space 3} 6.519645
{txt}{space 15}3 1  {c |}{col 21}{res}{space 2} 4.945553{col 33}{space 2}  .124762{col 44}{space 1}   39.64{col 53}{space 3}0.000{col 61}{space 4} 4.670954{col 74}{space 3} 5.220152
{txt}{space 15}4 0  {c |}{col 21}{res}{space 2} 6.621397{col 33}{space 2} .2045554{col 44}{space 1}   32.37{col 53}{space 3}0.000{col 61}{space 4} 6.171174{col 74}{space 3}  7.07162
{txt}{space 15}4 1  {c |}{col 21}{res}{space 2} 5.085383{col 33}{space 2} .1136848{col 44}{space 1}   44.73{col 53}{space 3}0.000{col 61}{space 4} 4.835165{col 74}{space 3} 5.335602
{txt}{space 15}5 0  {c |}{col 21}{res}{space 2} 7.083496{col 33}{space 2} .2672026{col 44}{space 1}   26.51{col 53}{space 3}0.000{col 61}{space 4} 6.495387{col 74}{space 3} 7.671605
{txt}{space 15}5 1  {c |}{col 21}{res}{space 2} 5.225214{col 33}{space 2}  .111996{col 44}{space 1}   46.66{col 53}{space 3}0.000{col 61}{space 4} 4.978712{col 74}{space 3} 5.471715
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot

{text}{p 2 6 2}Variables that uniquely identify margins: subjective_class country_liberal{p_end}
{res}
{com}. 
. 
. 
. reg income_equality c.subjective_class##i.country_liberal sex age edu income religious marital urban_1  i.year, cluster(country)

{txt}Linear regression                               Number of obs     = {res}    30,875
                                                {txt}{help j_robustsingular:F(10, 11) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0567
                                                {txt}Root MSE          =    {res} 2.5641

{txt}{ralign 100:(Std. Err. adjusted for {res:12} clusters in country)}
{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                   income_equality{col 36}{c |}      Coef.{col 48}   Std. Err.{col 60}      t{col 68}   P>|t|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}subjective_class {c |}{col 36}{res}{space 2}  .458519{col 48}{space 2} .0732346{col 59}{space 1}    6.26{col 68}{space 3}0.000{col 76}{space 4} .2973307{col 89}{space 3} .6197074
{txt}{space 17}1.country_liberal {c |}{col 36}{res}{space 2} .5554382{col 48}{space 2} .3549787{col 59}{space 1}    1.56{col 68}{space 3}0.146{col 76}{space 4}-.2258646{col 89}{space 3} 1.336741
{txt}{space 34} {c |}
country_liberal#c.subjective_class {c |}
{space 32}1  {c |}{col 36}{res}{space 2}-.2854311{col 48}{space 2} .0896496{col 59}{space 1}   -3.18{col 68}{space 3}0.009{col 76}{space 4}-.4827486{col 89}{space 3}-.0881136
{txt}{space 34} {c |}
{space 31}sex {c |}{col 36}{res}{space 2}  .261107{col 48}{space 2} .0439639{col 59}{space 1}    5.94{col 68}{space 3}0.000{col 76}{space 4} .1643432{col 89}{space 3} .3578709
{txt}{space 31}age {c |}{col 36}{res}{space 2}-.0037428{col 48}{space 2}  .014946{col 59}{space 1}   -0.25{col 68}{space 3}0.807{col 76}{space 4}-.0366388{col 89}{space 3} .0291533
{txt}{space 31}edu {c |}{col 36}{res}{space 2}-.0386322{col 48}{space 2} .0811865{col 59}{space 1}   -0.48{col 68}{space 3}0.643{col 76}{space 4}-.2173225{col 89}{space 3}  .140058
{txt}{space 28}income {c |}{col 36}{res}{space 2}-.0998573{col 48}{space 2} .0102818{col 59}{space 1}   -9.71{col 68}{space 3}0.000{col 76}{space 4}-.1224873{col 89}{space 3}-.0772273
{txt}{space 25}religious {c |}{col 36}{res}{space 2}-.3083364{col 48}{space 2}  .071048{col 59}{space 1}   -4.34{col 68}{space 3}0.001{col 76}{space 4} -.464712{col 89}{space 3}-.1519608
{txt}{space 27}marital {c |}{col 36}{res}{space 2}-.1469014{col 48}{space 2} .0376145{col 59}{space 1}   -3.91{col 68}{space 3}0.002{col 76}{space 4}-.2296904{col 89}{space 3}-.0641124
{txt}{space 27}urban_1 {c |}{col 36}{res}{space 2}-.0201249{col 48}{space 2} .0135525{col 59}{space 1}   -1.48{col 68}{space 3}0.166{col 76}{space 4}-.0499536{col 89}{space 3} .0097039
{txt}{space 34} {c |}
{space 30}year {c |}
{space 32}4  {c |}{col 36}{res}{space 2}-.0560219{col 48}{space 2} .1664484{col 59}{space 1}   -0.34{col 68}{space 3}0.743{col 76}{space 4}-.4223724{col 89}{space 3} .3103286
{txt}{space 32}5  {c |}{col 36}{res}{space 2}-.2147126{col 48}{space 2} .2504431{col 59}{space 1}   -0.86{col 68}{space 3}0.410{col 76}{space 4}-.7659341{col 89}{space 3} .3365089
{txt}{space 32}6  {c |}{col 36}{res}{space 2} .4966921{col 48}{space 2} .2940699{col 59}{space 1}    1.69{col 68}{space 3}0.119{col 76}{space 4}-.1505514{col 89}{space 3} 1.143936
{txt}{space 32}7  {c |}{col 36}{res}{space 2}-.2557394{col 48}{space 2} .2671614{col 59}{space 1}   -0.96{col 68}{space 3}0.359{col 76}{space 4}-.8437578{col 89}{space 3} .3322789
{txt}{space 34} {c |}
{space 29}_cons {c |}{col 36}{res}{space 2} 5.341478{col 48}{space 2} .3190983{col 59}{space 1}   16.74{col 68}{space 3}0.000{col 76}{space 4} 4.639147{col 89}{space 3} 6.043809
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. margins country_liberal , at( subjective_class =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    30,875
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#country_liberal {c |}
{space 15}1 0  {c |}{col 21}{res}{space 2}  4.93233{col 33}{space 2} .2328871{col 44}{space 1}   21.18{col 53}{space 3}0.000{col 61}{space 4} 4.419749{col 74}{space 3}  5.44491
{txt}{space 15}1 1  {c |}{col 21}{res}{space 2} 5.202337{col 33}{space 2} .1629904{col 44}{space 1}   31.92{col 53}{space 3}0.000{col 61}{space 4} 4.843597{col 74}{space 3} 5.561076
{txt}{space 15}2 0  {c |}{col 21}{res}{space 2} 5.390849{col 33}{space 2}  .196787{col 44}{space 1}   27.39{col 53}{space 3}0.000{col 61}{space 4} 4.957723{col 74}{space 3} 5.823974
{txt}{space 15}2 1  {c |}{col 21}{res}{space 2} 5.375425{col 33}{space 2} .1357633{col 44}{space 1}   39.59{col 53}{space 3}0.000{col 61}{space 4} 5.076612{col 74}{space 3} 5.674238
{txt}{space 15}3 0  {c |}{col 21}{res}{space 2} 5.849368{col 33}{space 2} .1842295{col 44}{space 1}   31.75{col 53}{space 3}0.000{col 61}{space 4} 5.443881{col 74}{space 3} 6.254854
{txt}{space 15}3 1  {c |}{col 21}{res}{space 2} 5.548513{col 33}{space 2} .1109058{col 44}{space 1}   50.03{col 53}{space 3}0.000{col 61}{space 4} 5.304411{col 74}{space 3} 5.792614
{txt}{space 15}4 0  {c |}{col 21}{res}{space 2} 6.307887{col 33}{space 2}  .199706{col 44}{space 1}   31.59{col 53}{space 3}0.000{col 61}{space 4} 5.868337{col 74}{space 3} 6.747437
{txt}{space 15}4 1  {c |}{col 21}{res}{space 2}   5.7216{col 33}{space 2} .0903944{col 44}{space 1}   63.30{col 53}{space 3}0.000{col 61}{space 4} 5.522644{col 74}{space 3} 5.920557
{txt}{space 15}5 0  {c |}{col 21}{res}{space 2} 6.766406{col 33}{space 2} .2378047{col 44}{space 1}   28.45{col 53}{space 3}0.000{col 61}{space 4} 6.243001{col 74}{space 3}  7.28981
{txt}{space 15}5 1  {c |}{col 21}{res}{space 2} 5.894688{col 33}{space 2} .0777485{col 44}{space 1}   75.82{col 53}{space 3}0.000{col 61}{space 4} 5.723565{col 74}{space 3} 6.065812
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot

{text}{p 2 6 2}Variables that uniquely identify margins: subjective_class country_liberal{p_end}
{res}
{com}. 
. 
. 
. reg private_state c.subjective_class##i.country_liberal sex age edu income religious marital urban_1  i.year, cluster(country)

{txt}Linear regression                               Number of obs     = {res}    30,007
                                                {txt}{help j_robustsingular:F(10, 11) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0722
                                                {txt}Root MSE          =    {res} 2.2448

{txt}{ralign 100:(Std. Err. adjusted for {res:12} clusters in country)}
{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                     private_state{col 36}{c |}      Coef.{col 48}   Std. Err.{col 60}      t{col 68}   P>|t|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}subjective_class {c |}{col 36}{res}{space 2} .2463063{col 48}{space 2} .0746025{col 59}{space 1}    3.30{col 68}{space 3}0.007{col 76}{space 4} .0821072{col 89}{space 3} .4105054
{txt}{space 17}1.country_liberal {c |}{col 36}{res}{space 2}-.0488344{col 48}{space 2} .3487701{col 59}{space 1}   -0.14{col 68}{space 3}0.891{col 76}{space 4}-.8164723{col 89}{space 3} .7188035
{txt}{space 34} {c |}
country_liberal#c.subjective_class {c |}
{space 32}1  {c |}{col 36}{res}{space 2}-.2462451{col 48}{space 2} .0898637{col 59}{space 1}   -2.74{col 68}{space 3}0.019{col 76}{space 4}-.4440339{col 89}{space 3}-.0484564
{txt}{space 34} {c |}
{space 31}sex {c |}{col 36}{res}{space 2} .2458029{col 48}{space 2} .0485291{col 59}{space 1}    5.07{col 68}{space 3}0.000{col 76}{space 4}  .138991{col 89}{space 3} .3526147
{txt}{space 31}age {c |}{col 36}{res}{space 2}-.0085919{col 48}{space 2} .0235926{col 59}{space 1}   -0.36{col 68}{space 3}0.723{col 76}{space 4}-.0605188{col 89}{space 3}  .043335
{txt}{space 31}edu {c |}{col 36}{res}{space 2} .0395053{col 48}{space 2} .0911988{col 59}{space 1}    0.43{col 68}{space 3}0.673{col 76}{space 4}-.1612219{col 89}{space 3} .2402325
{txt}{space 28}income {c |}{col 36}{res}{space 2}-.0648876{col 48}{space 2}  .010426{col 59}{space 1}   -6.22{col 68}{space 3}0.000{col 76}{space 4}-.0878351{col 89}{space 3}  -.04194
{txt}{space 25}religious {c |}{col 36}{res}{space 2}-.2868832{col 48}{space 2}   .05958{col 59}{space 1}   -4.82{col 68}{space 3}0.001{col 76}{space 4}-.4180179{col 89}{space 3}-.1557485
{txt}{space 27}marital {c |}{col 36}{res}{space 2} .0419112{col 48}{space 2} .0500462{col 59}{space 1}    0.84{col 68}{space 3}0.420{col 76}{space 4}-.0682397{col 89}{space 3} .1520621
{txt}{space 27}urban_1 {c |}{col 36}{res}{space 2} .0527857{col 48}{space 2} .0114232{col 59}{space 1}    4.62{col 68}{space 3}0.001{col 76}{space 4} .0276434{col 89}{space 3}  .077928
{txt}{space 34} {c |}
{space 30}year {c |}
{space 32}4  {c |}{col 36}{res}{space 2} .2712726{col 48}{space 2} .1554643{col 59}{space 1}    1.74{col 68}{space 3}0.109{col 76}{space 4}-.0709021{col 89}{space 3} .6134473
{txt}{space 32}5  {c |}{col 36}{res}{space 2} .5582177{col 48}{space 2} .1243123{col 59}{space 1}    4.49{col 68}{space 3}0.001{col 76}{space 4} .2846083{col 89}{space 3} .8318272
{txt}{space 32}6  {c |}{col 36}{res}{space 2} .9838079{col 48}{space 2} .2504442{col 59}{space 1}    3.93{col 68}{space 3}0.002{col 76}{space 4} .4325839{col 89}{space 3} 1.535032
{txt}{space 32}7  {c |}{col 36}{res}{space 2} .5829099{col 48}{space 2} .1946759{col 59}{space 1}    2.99{col 68}{space 3}0.012{col 76}{space 4} .1544312{col 89}{space 3} 1.011389
{txt}{space 34} {c |}
{space 29}_cons {c |}{col 36}{res}{space 2} 3.772316{col 48}{space 2} .3842099{col 59}{space 1}    9.82{col 68}{space 3}0.000{col 76}{space 4} 2.926675{col 89}{space 3} 4.617956
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. margins country_liberal , at( subjective_class =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    30,007
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}     Margin{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#country_liberal {c |}
{space 15}1 0  {c |}{col 21}{res}{space 2} 4.499609{col 33}{space 2} .1829077{col 44}{space 1}   24.60{col 53}{space 3}0.000{col 61}{space 4} 4.097032{col 74}{space 3} 4.902186
{txt}{space 15}1 1  {c |}{col 21}{res}{space 2} 4.204529{col 33}{space 2} .1873186{col 44}{space 1}   22.45{col 53}{space 3}0.000{col 61}{space 4} 3.792244{col 74}{space 3} 4.616815
{txt}{space 15}2 0  {c |}{col 21}{res}{space 2} 4.745915{col 33}{space 2}  .135394{col 44}{space 1}   35.05{col 53}{space 3}0.000{col 61}{space 4} 4.447915{col 74}{space 3} 5.043915
{txt}{space 15}2 1  {c |}{col 21}{res}{space 2} 4.204591{col 33}{space 2} .1923971{col 44}{space 1}   21.85{col 53}{space 3}0.000{col 61}{space 4} 3.781127{col 74}{space 3} 4.628054
{txt}{space 15}3 0  {c |}{col 21}{res}{space 2} 4.992221{col 33}{space 2} .1197454{col 44}{space 1}   41.69{col 53}{space 3}0.000{col 61}{space 4} 4.728664{col 74}{space 3} 5.255779
{txt}{space 15}3 1  {c |}{col 21}{res}{space 2} 4.204652{col 33}{space 2} .2043976{col 44}{space 1}   20.57{col 53}{space 3}0.000{col 61}{space 4} 3.754776{col 74}{space 3} 4.654528
{txt}{space 15}4 0  {c |}{col 21}{res}{space 2} 5.238528{col 33}{space 2} .1465518{col 44}{space 1}   35.75{col 53}{space 3}0.000{col 61}{space 4} 4.915969{col 74}{space 3} 5.561086
{txt}{space 15}4 1  {c |}{col 21}{res}{space 2} 4.204713{col 33}{space 2} .2222012{col 44}{space 1}   18.92{col 53}{space 3}0.000{col 61}{space 4} 3.715651{col 74}{space 3} 4.693774
{txt}{space 15}5 0  {c |}{col 21}{res}{space 2} 5.484834{col 33}{space 2} .1993665{col 44}{space 1}   27.51{col 53}{space 3}0.000{col 61}{space 4} 5.046031{col 74}{space 3} 5.923637
{txt}{space 15}5 1  {c |}{col 21}{res}{space 2} 4.204774{col 33}{space 2} .2445439{col 44}{space 1}   17.19{col 53}{space 3}0.000{col 61}{space 4} 3.666536{col 74}{space 3} 4.743011
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot

{text}{p 2 6 2}Variables that uniquely identify margins: subjective_class country_liberal{p_end}
{res}
{com}. 
. 
. 
. interflex government_resp subjective_class country_liberal sex age edu income religious marital urban_1, fe(year) vce(r) ylab(Government responsibility) dlab(Liberal) xlab(Subjective class)
{res}Fixed effects included; clustered standard errors highly recommended
{txt}p value of Wald test: {res}    .

{com}. 
. 
. 
. interflex income_equality subjective_class country_liberal sex age edu income religious marital urban_1, fe(year) vce(r) ylab(Government responsibility) dlab(Liberal) xlab(Subjective class)
{res}Fixed effects included; clustered standard errors highly recommended
{txt}p value of Wald test: {res}    .

{com}. 
. 
. 
. interflex private_state subjective_class country_liberal sex age edu income religious marital urban_1, fe(year) vce(r) ylab(Government responsibility) dlab(Liberal) xlab(Subjective class)
{res}Fixed effects included; clustered standard errors highly recommended
{txt}p value of Wald test: {res}    .

{com}. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제16_복지국가 발전경로_OECD\data\STATA code for analysis 2.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}23 Jul 2025, 15:23:06
{txt}{.-}
{smcl}
{txt}{sf}{ul off}